mirror of
https://github.com/invoke-ai/InvokeAI
synced 2025-07-25 12:55:55 +00:00
Add model probes for T2I-Adapter models.
This commit is contained in:
@ -55,6 +55,7 @@ class ModelProbe(object):
|
||||
"AutoencoderKL": ModelType.Vae,
|
||||
"ControlNetModel": ModelType.ControlNet,
|
||||
"CLIPVisionModelWithProjection": ModelType.CLIPVision,
|
||||
"T2IAdapter": ModelType.T2IAdapter,
|
||||
}
|
||||
|
||||
@classmethod
|
||||
@ -389,6 +390,11 @@ class CLIPVisionCheckpointProbe(CheckpointProbeBase):
|
||||
raise NotImplementedError()
|
||||
|
||||
|
||||
class T2IAdapterCheckpointProbe(CheckpointProbeBase):
|
||||
def get_base_type(self) -> BaseModelType:
|
||||
raise NotImplementedError()
|
||||
|
||||
|
||||
########################################################
|
||||
# classes for probing folders
|
||||
#######################################################
|
||||
@ -511,9 +517,7 @@ class ControlNetFolderProbe(FolderProbeBase):
|
||||
else (
|
||||
BaseModelType.StableDiffusion2
|
||||
if dimension == 1024
|
||||
else BaseModelType.StableDiffusionXL
|
||||
if dimension == 2048
|
||||
else None
|
||||
else BaseModelType.StableDiffusionXL if dimension == 2048 else None
|
||||
)
|
||||
)
|
||||
if not base_model:
|
||||
@ -560,6 +564,26 @@ class CLIPVisionFolderProbe(FolderProbeBase):
|
||||
return BaseModelType.Any
|
||||
|
||||
|
||||
class T2IAdapterFolderProbe(FolderProbeBase):
|
||||
def get_base_type(self) -> BaseModelType:
|
||||
config_file = self.folder_path / "config.json"
|
||||
if not config_file.exists():
|
||||
raise InvalidModelException(f"Cannot determine base type for {self.folder_path}")
|
||||
with open(config_file, "r") as file:
|
||||
config = json.load(file)
|
||||
|
||||
adapter_type = config.get("adapter_type", None)
|
||||
if adapter_type == "full_adapter_xl":
|
||||
return BaseModelType.StableDiffusionXL
|
||||
elif adapter_type == "full_adapter" or "light_adapter":
|
||||
# I haven't seen any T2I adapter models for SD2, so assume that this is an SD1 adapter.
|
||||
return BaseModelType.StableDiffusion1
|
||||
else:
|
||||
raise InvalidModelException(
|
||||
f"Unable to determine base model for '{self.folder_path}' (adapter_type = {adapter_type})."
|
||||
)
|
||||
|
||||
|
||||
############## register probe classes ######
|
||||
ModelProbe.register_probe("diffusers", ModelType.Main, PipelineFolderProbe)
|
||||
ModelProbe.register_probe("diffusers", ModelType.Vae, VaeFolderProbe)
|
||||
@ -568,6 +592,7 @@ ModelProbe.register_probe("diffusers", ModelType.TextualInversion, TextualInvers
|
||||
ModelProbe.register_probe("diffusers", ModelType.ControlNet, ControlNetFolderProbe)
|
||||
ModelProbe.register_probe("diffusers", ModelType.IPAdapter, IPAdapterFolderProbe)
|
||||
ModelProbe.register_probe("diffusers", ModelType.CLIPVision, CLIPVisionFolderProbe)
|
||||
ModelProbe.register_probe("diffusers", ModelType.T2IAdapter, T2IAdapterFolderProbe)
|
||||
|
||||
ModelProbe.register_probe("checkpoint", ModelType.Main, PipelineCheckpointProbe)
|
||||
ModelProbe.register_probe("checkpoint", ModelType.Vae, VaeCheckpointProbe)
|
||||
@ -576,5 +601,6 @@ ModelProbe.register_probe("checkpoint", ModelType.TextualInversion, TextualInver
|
||||
ModelProbe.register_probe("checkpoint", ModelType.ControlNet, ControlNetCheckpointProbe)
|
||||
ModelProbe.register_probe("checkpoint", ModelType.IPAdapter, IPAdapterCheckpointProbe)
|
||||
ModelProbe.register_probe("checkpoint", ModelType.CLIPVision, CLIPVisionCheckpointProbe)
|
||||
ModelProbe.register_probe("checkpoint", ModelType.T2IAdapter, T2IAdapterCheckpointProbe)
|
||||
|
||||
ModelProbe.register_probe("onnx", ModelType.ONNX, ONNXFolderProbe)
|
||||
|
Reference in New Issue
Block a user